Triple
T7261242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aru languages |
E159656
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Dobel language
The Dobel language is an Austronesian language spoken by the Aru Islands community in eastern Indonesia.
|
E651514
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dobel language | Statement: [Aru languages, hasMember, Dobel language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dobel language Context triple: [Aru languages, hasMember, Dobel language]
-
A.
Dobbi language
The Dobbi language is an Ethiopian Semitic language spoken by the Gurage people as part of the broader Gurage language group.
-
B.
Godoberi language
The Godoberi language is a Northeast Caucasian (Nakh-Daghestanian) language spoken by the Godoberi people in the Republic of Dagestan, Russia.
-
C.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
D.
Negidal language
The Negidal language is a critically endangered Tungusic language traditionally spoken by the Negidal people in the Russian Far East along the lower Amur River.
-
E.
Nendö language
The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dobel language Triple: [Aru languages, hasMember, Dobel language]
Generated description
The Dobel language is an Austronesian language spoken by the Aru Islands community in eastern Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dobel language Target entity description: The Dobel language is an Austronesian language spoken by the Aru Islands community in eastern Indonesia.
-
A.
Dobbi language
The Dobbi language is an Ethiopian Semitic language spoken by the Gurage people as part of the broader Gurage language group.
-
B.
Godoberi language
The Godoberi language is a Northeast Caucasian (Nakh-Daghestanian) language spoken by the Godoberi people in the Republic of Dagestan, Russia.
-
C.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
D.
Negidal language
The Negidal language is a critically endangered Tungusic language traditionally spoken by the Negidal people in the Russian Far East along the lower Amur River.
-
E.
Nendö language
The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac79fd081909274aa10ffb192aa |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3bda4808190810f2d170cb693b9 |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d469fd0081908943099685f94c8b |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d52299108190974a2e62d6f96610 |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:57 p.m.